Modelling Longitudinal and Spatially Correlated Data:
Gespeichert in:
| Weitere Verfasser: | , , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1997
|
| Schriftenreihe: | Lecture Notes in Statistics
122 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Correlated data arise in numerous contexts across a wide spectrum of subject-matter disciplines. Modeling such data present special challenges and opportunities that have received increasing scrutiny by the statistical community in recent years. In October 1996 a group of 210 statisticians and other scientists assembled on the small island of Nantucket, U. S. A. , to present and discuss new developments relating to Modelling Longitudinal and Spatially Correlated Data: Methods, Applications, and Future Directions. Its purpose was to provide a cross-disciplinary forum to explore the commonalities and meaningful differences in the source and treatment of such data. This volume is a compilation of some of the important invited and volunteered presentations made during that conference. The three days and evenings of oral and displayed presentations were arranged into six broad thematic areas. The session themes, the invited speakers and the topics they addressed were as follows: - Generalized Linear Models: Peter McCullagh- "Residual Likelihood in Linear and Generalized Linear Models" - Longitudinal Data Analysis: Nan Laird- "Using the General Linear Mixed Model to Analyze Unbalanced Repeated Measures and Longitudinal Data" - Spatio---Temporal Processes: David R. Brillinger- "Statistical Analysis of the Tracks of Moving Particles" - Spatial Data Analysis: Noel A. Cressie- "Statistical Models for Lattice Data" - Modelling Messy Data: Raymond J. Carroll- "Some Results on Generalized Linear Mixed Models with Measurement Error in Covariates" - Future Directions: Peter J. |
| Beschreibung: | 1 Online-Ressource (420p. 20 illus) |
| ISBN: | 9781461206996 9780387982168 |
| ISSN: | 0930-0325 |
| DOI: | 10.1007/978-1-4612-0699-6 |
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| 500 | |a Correlated data arise in numerous contexts across a wide spectrum of subject-matter disciplines. Modeling such data present special challenges and opportunities that have received increasing scrutiny by the statistical community in recent years. In October 1996 a group of 210 statisticians and other scientists assembled on the small island of Nantucket, U. S. A. , to present and discuss new developments relating to Modelling Longitudinal and Spatially Correlated Data: Methods, Applications, and Future Directions. Its purpose was to provide a cross-disciplinary forum to explore the commonalities and meaningful differences in the source and treatment of such data. This volume is a compilation of some of the important invited and volunteered presentations made during that conference. The three days and evenings of oral and displayed presentations were arranged into six broad thematic areas. The session themes, the invited speakers and the topics they addressed were as follows: - Generalized Linear Models: Peter McCullagh- "Residual Likelihood in Linear and Generalized Linear Models" - Longitudinal Data Analysis: Nan Laird- "Using the General Linear Mixed Model to Analyze Unbalanced Repeated Measures and Longitudinal Data" - Spatio---Temporal Processes: David R. Brillinger- "Statistical Analysis of the Tracks of Moving Particles" - Spatial Data Analysis: Noel A. Cressie- "Statistical Models for Lattice Data" - Modelling Messy Data: Raymond J. Carroll- "Some Results on Generalized Linear Mixed Models with Measurement Error in Covariates" - Future Directions: Peter J. | ||
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Datensatz im Suchindex
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| spelling | Gregoire, Timothy G. (DE-588)1055799087 edt Modelling Longitudinal and Spatially Correlated Data edited by Timothy G. Gregoire, David R. Brillinger, Peter J. Diggle, Estelle Russek-Cohen, William G. Warren, Russell D. Wolfinger New York, NY Springer New York 1997 1 Online-Ressource (420p. 20 illus) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Statistics 122 0930-0325 Correlated data arise in numerous contexts across a wide spectrum of subject-matter disciplines. Modeling such data present special challenges and opportunities that have received increasing scrutiny by the statistical community in recent years. In October 1996 a group of 210 statisticians and other scientists assembled on the small island of Nantucket, U. S. A. , to present and discuss new developments relating to Modelling Longitudinal and Spatially Correlated Data: Methods, Applications, and Future Directions. Its purpose was to provide a cross-disciplinary forum to explore the commonalities and meaningful differences in the source and treatment of such data. This volume is a compilation of some of the important invited and volunteered presentations made during that conference. The three days and evenings of oral and displayed presentations were arranged into six broad thematic areas. The session themes, the invited speakers and the topics they addressed were as follows: - Generalized Linear Models: Peter McCullagh- "Residual Likelihood in Linear and Generalized Linear Models" - Longitudinal Data Analysis: Nan Laird- "Using the General Linear Mixed Model to Analyze Unbalanced Repeated Measures and Longitudinal Data" - Spatio---Temporal Processes: David R. Brillinger- "Statistical Analysis of the Tracks of Moving Particles" - Spatial Data Analysis: Noel A. Cressie- "Statistical Models for Lattice Data" - Modelling Messy Data: Raymond J. Carroll- "Some Results on Generalized Linear Mixed Models with Measurement Error in Covariates" - Future Directions: Peter J. Statistics Statistics for Life Sciences, Medicine, Health Sciences Statistik Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf Korrelationsanalyse (DE-588)4194560-8 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift 1996 Nantucket Island gnd-content Multivariate Analyse (DE-588)4040708-1 s Korrelationsanalyse (DE-588)4194560-8 s 2\p DE-604 Brillinger, David R. 1937- (DE-588)122230353 edt Diggle, Peter J. edt Russek-Cohen, Estelle edt Warren, William G. edt Wolfinger, Russell D. edt Lecture Notes in Statistics 122 (DE-604)BV036592911 122 https://doi.org/10.1007/978-1-4612-0699-6 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Modelling Longitudinal and Spatially Correlated Data Lecture Notes in Statistics Statistics Statistics for Life Sciences, Medicine, Health Sciences Statistik Multivariate Analyse (DE-588)4040708-1 gnd Korrelationsanalyse (DE-588)4194560-8 gnd |
| subject_GND | (DE-588)4040708-1 (DE-588)4194560-8 (DE-588)1071861417 |
| title | Modelling Longitudinal and Spatially Correlated Data |
| title_auth | Modelling Longitudinal and Spatially Correlated Data |
| title_exact_search | Modelling Longitudinal and Spatially Correlated Data |
| title_full | Modelling Longitudinal and Spatially Correlated Data edited by Timothy G. Gregoire, David R. Brillinger, Peter J. Diggle, Estelle Russek-Cohen, William G. Warren, Russell D. Wolfinger |
| title_fullStr | Modelling Longitudinal and Spatially Correlated Data edited by Timothy G. Gregoire, David R. Brillinger, Peter J. Diggle, Estelle Russek-Cohen, William G. Warren, Russell D. Wolfinger |
| title_full_unstemmed | Modelling Longitudinal and Spatially Correlated Data edited by Timothy G. Gregoire, David R. Brillinger, Peter J. Diggle, Estelle Russek-Cohen, William G. Warren, Russell D. Wolfinger |
| title_short | Modelling Longitudinal and Spatially Correlated Data |
| title_sort | modelling longitudinal and spatially correlated data |
| topic | Statistics Statistics for Life Sciences, Medicine, Health Sciences Statistik Multivariate Analyse (DE-588)4040708-1 gnd Korrelationsanalyse (DE-588)4194560-8 gnd |
| topic_facet | Statistics Statistics for Life Sciences, Medicine, Health Sciences Statistik Multivariate Analyse Korrelationsanalyse Konferenzschrift 1996 Nantucket Island |
| url | https://doi.org/10.1007/978-1-4612-0699-6 |
| volume_link | (DE-604)BV036592911 |
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